Open AI training and model evaluation roles that call for Technical Documentation expertise, gathered from 5 platforms. Part of Engineering.
Pay figures cover the 57 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves designing small, self-contained computational fluid dynamics tasks that train and evaluate AI models on engineering reasoning. CFD engineers create problem statements, scoring mechanisms, and reference solutions to teach AI systems about aerodynamics, boundary conditions, and flow physics, without requiring machine learning expertise.
This role involves designing challenging electrical engineering problems, writing authoritative solutions, and auditing AI-generated technical outputs to improve how artificial intelligence reasons through complex engineering tasks. It is suited for experienced electrical engineers who want to contribute to AI model development remotely on a flexible contract basis.
This role involves applying environmental engineering expertise to improve AI models' reasoning about physical and chemical processes. You will create technical problems, develop reference solutions, and audit AI-generated engineering outputs to identify and correct modeling failures across water treatment, air quality, remediation, and environmental compliance domains.
This remote contract role asks mechanical engineers to build and check hard engineering problems that test how AI models reason about physical systems. The work includes writing reference solutions and reviewing AI-generated engineering outputs for accuracy and physical validity. It suits engineers with a graduate degree and solid technical expertise who can explain their reasoning clearly in writing.
This remote freelance role asks mechanical engineers to help train and evaluate AI models on complex engineering problems. Contributors design multi-domain challenges, write reference solutions, and check AI reasoning for accuracy, safety, and compliance with engineering standards. It suits engineers with a graduate degree who want to apply their expertise to AI development, and no prior AI experience is required.
This remote contract role asks you to build and refine MuJoCo simulation environments that teach AI agents locomotion, manipulation, and multi-agent coordination. It is aimed at experienced robotics and machine learning practitioners who are comfortable with physics simulation, reinforcement learning, and robot control.
This contract role centers on building and refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and multi-agent coordination. It suits experienced robotics and machine learning practitioners who work on reinforcement learning, robot control, and simulation debugging, mostly on their own in an asynchronous, remote setting.
This contract role centers on building and refining MuJoCo physics simulations where reinforcement learning agents practice locomotion, manipulation, and coordination tasks. It suits experienced robotics and machine learning practitioners who can design reward functions, debug contact dynamics, and document their work independently in a remote, asynchronous setting.
This contract role centers on building MuJoCo physics simulation environments and training reinforcement learning agents to carry out robotic tasks such as locomotion and manipulation. It suits experienced robotics and machine learning practitioners who are comfortable with physics simulation, policy training and robot control, and who can work independently on milestone-based projects.
This contract role centers on building and refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and multi-agent coordination. It suits experienced robotics and machine learning practitioners who can combine reinforcement learning, robot control, and simulation debugging. Work is remote, asynchronous, and organized around milestones.
This contract role asks specialists to design, build and refine MuJoCo physics simulation environments that train AI agents on locomotion, manipulation and multi-agent tasks. It suits experienced practitioners in reinforcement learning and robot control who can also document their results clearly. The work is remote with flexible weekly hours.
This freelance role centers on building high-fidelity physics simulations of robots, including accurate robot models, simulation environments, and pipelines that help robots learn to walk, grasp, and navigate. It suits engineers experienced with robotics simulators such as MuJoCo, Isaac Sim, or Gazebo who want to narrow the gap between virtual testing and real-world robot behavior. The work is hourly and remote, with written collaboration conducted in English.
This role involves creating challenging engineering problems and solutions that test AI model capabilities in mechanical reasoning and design. You'll write problems from your specialty, solve them yourself, verify the answers, and evaluate how well AI systems perform on real engineering tasks like component sizing, failure analysis, and design validation.
DataAnnotation seeks an experienced hardware engineer to evaluate how AI models handle real electrical and electronics engineering problems. You will design realistic engineering challenges, run them through frontier AI models, judge the outputs against professional standards, and provide detailed written critiques that help train the next generation of AI engineering tools.
This role involves creating rigorous mechanical engineering problems and solutions to train AI models to reason like practicing engineers. You will write verifiable problems from your specialty, derive correct answers, test them against AI systems, and review AI-generated engineering work for real-world applicability.
A mechanical designer writes rigorous engineering problems and solutions to train AI models to reason like practicing engineers. You'll create challenging, closed-ended technical problems from your specialty, verify correct answers, test them against AI systems, and review AI-generated engineering work for real-world applicability.
A mechanical engineer will create challenging, closed-ended engineering problems based on their specialty, derive correct solutions, and evaluate how well AI models perform on real-world engineering tasks. The role involves writing problems that test genuine engineering reasoning, component sizing, failure analysis, CAD interpretation, design impact prediction, and assessing AI-generated analysis and designs for correctness and practical applicability.
A Senior Mechanical Design Engineer will create rigorous engineering problems and solutions to evaluate and improve AI model reasoning across mechanical specialties. You will write closed-ended technical challenges from your expertise, derive correct answers, test them against AI systems, and review AI-generated engineering work for real-world accuracy and applicability.
This role calls for certified aircraft maintenance inspectors to contribute to the training of AI models designed to improve maintenance procedures and regulatory compliance. You will analyze and annotate aircraft technical documents, evaluate engine inspection data, and provide subject matter expertise to refine datasets used in artificial intelligence. These are remote roles for experienced professionals with in-depth knowledge of FAA standards and inspection procedures.
Posted September 29, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This role involves leveraging your expertise in diagnosing and maintaining complex industrial systems to contribute to the training of AI models. You will analyze technical diagrams, diagnose faults, and document your troubleshooting approaches with rigor to feed AI system learning, without requiring prior experience in artificial intelligence.
Posted September 29, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
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FAQ
58 Technical Documentation AI training jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 57 open roles that publish an hourly rate in USD, pay runs from $10 to $350 per hour, with a median of $70. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (21), micro1 (18), Alignerr (12), DataAnnotation (6) and Vetto (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Technical Documentation, AI Evaluation, CAD Modeling, Mechanical Engineering, Simulation Analysis. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
